Junyu Guo

Orcid: 0000-0001-9462-9501

Affiliations:
  • Southwest Petroleum University, School of Mechatronic Engineering, Chengdu, Sichuan, China
  • Chongqing University of Science and Technology, Chongqing Key Laboratory for Oil and Gas Production Safety and Risk Control, China


According to our database1, Junyu Guo authored at least 11 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
An integrated deep learning model for intelligent recognition of long-distance natural gas pipeline features.
Reliab. Eng. Syst. Saf., 2025

2024
A hybrid reliability assessment method based on health index construction and reliability modeling for rolling bearing.
Qual. Reliab. Eng. Int., December, 2024

A dual-channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings.
Qual. Reliab. Eng. Int., July, 2024

A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process.
Reliab. Eng. Syst. Saf., 2024

A parallel deep neural network for intelligent fault diagnosis of drilling pumps.
Eng. Appl. Artif. Intell., 2024

2023
A CNN-BiLSTM-Bootstrap integrated method for remaining useful life prediction of rolling bearings.
Qual. Reliab. Eng. Int., July, 2023

A hybrid prognostic framework for rolling bearings based on health indicator construction and the Wiener process model.
Proceedings of the 9th International Symposium on System Security, Safety, and Reliability, 2023

2022
A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process.
Reliab. Eng. Syst. Saf., 2022

2021
Supportive emergency decision-making model towards sustainable development with fuzzy expert system.
Neural Comput. Appl., 2021

2019
Bayesian Hierarchical Model-Based Information Fusion for Degradation Analysis Considering Non-Competing Relationship.
IEEE Access, 2019

A Bayesian Approach for Degradation Analysis with Individual Differences.
IEEE Access, 2019


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